Interactive context-aware illustrative visualization

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The long-term objective of my research program is to develop illustrative graphics and visualization techniques and systems that are able to capture the expressiveness of traditional Scientific-Technical-Medical (STM) illustrations. The real power of traditional illustration techniques comes from the illustrator's mastery of integrating subtle perceptual cues within the illustration, emphasizing and subjugating abstract and concrete information to the viewer. Today's computer-generated STM visualization techniques and systems generally lack this subtlety. The focus of my research program is to address the aforementioned problem. I will develop a new illustrative visualization framework and tool set that incorporates traditional STM illustration principles, practices, and methods with existing and forthcoming graphics and visualization systems and techniques. My program has two main objectives: (1) to create informative illustrative visualizations from modern STM data experiments, simulations and acquisitions which are robust in their expressiveness and communication; (2) to ensure the context is captured by the illustrative techniques used when information is presented during a visualization task (e.g. training or exploration session). A task context consists of a set of characteristics with varying degrees of available information (data modality, size, detail, and uncertainty), the visualization/communication goals, the expertise and experience of the user, and the input/output devices being utilized.